摘要
以运城学院在校大学生为例,对其消费情况进行了抽样调查,并利用K-means算法对调查结果进行了聚类和分析。实验结果表明,每一类学生中影响其消费的因素是有差别的,该分析结果可作为指导各类学生消费的依据。
The consumption of undergraduate students in Yuncheng University is investigated in this paper, and the K-means algorithm is used in the survey to carry out clustering analysis. The results show that the factors affecting consumption in each cluster of students are different. The analysis result may serve as a basic guidance of all kinds of students' consumption.
出处
《计算机时代》
2013年第2期19-21,共3页
Computer Era
基金
山西省重点扶持学科建设项目(20101041)